1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2021
Optimal Linear Combination of Classifiers
Georgi Nalbantov, Svetoslav Ivanov
The question of whether to use one classifier or a combination of classifiers is a central topic in Machine Learning. We propose here a method for finding an optimal linear combina…
cs.LG2019★ 1 cited
Tutorial on Implied Posterior Probability for SVMs
Georgi Nalbantov, Svetoslav Ivanov
Implied posterior probability of a given model (say, Support Vector Machines (SVM)) at a point is an estimate of the class posterior probability pertaining to the class of…
cs.LG2019
A Note on Posterior Probability Estimation for Classifiers
Georgi Nalbantov, Svetoslav Ivanov
One of the central themes in the classification task is the estimation of class posterior probability at a new point . The vast majority of classifiers output a score for $…